Sciweavers

2178 search results - page 53 / 436
» Inferring complex plans
Sort
View
JMLR
2010
147views more  JMLR 2010»
13 years 3 months ago
Gaussian Processes for Machine Learning (GPML) Toolbox
The GPML toolbox provides a wide range of functionality for Gaussian process (GP) inference and prediction. GPs are specified by mean and covariance functions; we offer a library ...
Carl Edward Rasmussen, Hannes Nickisch
ICIP
2005
IEEE
14 years 10 months ago
Variable module graphs: a framework for inference and learning in modular vision systems
We present a novel and intuitive framework for building modular vision systems for complex tasks such as surveillance applications. Inspired by graphical models, especially factor...
Amit Sethi, Mandar Rahurkar, Thomas S. Huang
IBPRIA
2009
Springer
14 years 1 months ago
Inference and Learning for Active Sensing, Experimental Design and Control
In this paper we argue that maximum expected utility is a suitable framework for modeling a broad range of decision problems arising in pattern recognition and related fields. Exa...
Hendrik Kück, Matthew Hoffman, Arnaud Doucet,...
FGCS
1992
103views more  FGCS 1992»
13 years 10 months ago
Parallel Inference Machine PIM
: There have been no major control problems during the first three years of the new Tokaido-Sanyo Shinkansen (bullet train) Programmed Route Control (PRC) computer system. Prior to...
Kazuo Taki
IPPS
2003
IEEE
14 years 2 months ago
A Genetic Approach to Planning in Heterogeneous Computing Environments
Planning is an artificial intelligence problem with a wide range of real-world applications. Genetic algorithms, neural networks, and simulated annealing are heuristic search met...
Han Yu, Dan C. Marinescu, Annie S. Wu, Howard Jay ...